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Thomas Pierrot
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2020 – today
- 2024
- [j3]Raphaël Boige, Yannis Flet-Berliac, Lars C. P. M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. RLJ 3: 1511-1532 (2024) - [j2]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024) - [c11]Hannah Janmohamed
, Marta Wolinska
Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO 2024 - [i19]Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully:
Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR abs/2403.17164 (2024) - [i18]Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett:
Learning the Language of Protein Structure. CoRR abs/2405.15840 (2024) - [i17]Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida
Multi-modal Transfer Learning between Biological Foundation Models. CoRR abs/2406.14150 (2024) - 2023
- [j1]Karim Beguir, Marcin J. Skwark
Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine 155: 106618 (2023) - [c10]Raphaël Boige
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO 2023: 119-128 - [c9]Hannah Janmohamed
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO 2023: 165-173 - [c8]Valentin Macé
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO 2023: 1221-1229 - [c7]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR 2023 - [c6]Thomas Pierrot, Arthur Flajolet:
Evolving Populations of Diverse RL Agents with MAP-Elites. ICLR 2023 - [i16]Hannah Janmohamed, Thomas Pierrot, Antoine Cully:
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR abs/2302.12668 (2023) - [i15]Thomas Pierrot, Arthur Flajolet:
Evolving Populations of Diverse RL Agents with MAP-Elites. CoRR abs/2303.12803 (2023) - [i14]Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert:
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR abs/2303.16207 (2023) - [i13]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR abs/2306.05138 (2023) - [i12]Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. CoRR abs/2307.10936 (2023) - [i11]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR abs/2308.03665 (2023) - 2022
- [c5]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-objective quality diversity optimization. GECCO 2022: 139-147 - [c4]Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert:
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO 2022: 1075-1083 - [c3]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. ICML 2022: 6533-6547 - [i10]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-Objective Quality Diversity Optimization. CoRR abs/2202.03057 (2022) - [i9]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. CoRR abs/2206.08888 (2022) - [i8]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR abs/2210.03516 (2022) - [i7]Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert:
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR abs/2211.13742 (2022) - 2021
- [c2]Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud:
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) 2021: 197-208 - 2020
- [i6]Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud:
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR abs/2006.08505 (2020) - [i5]Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs for Continuous Control. CoRR abs/2007.13363 (2020) - [i4]Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir:
Offline Reinforcement Learning Hands-On. CoRR abs/2011.14379 (2020) - [i3]Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir:
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. CoRR abs/2012.01736 (2020)
2010 – 2019
- 2019
- [c1]Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS 2019: 14646-14656 - [i2]Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR abs/1905.12941 (2019) - 2018
- [i1]Thomas Pierrot, Nicolas Perrin, Olivier Sigaud:
First-order and second-order variants of the gradient descent: a unified framework. CoRR abs/1810.08102 (2018)
Coauthor Index
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last updated on 2024-11-25 23:38 CET by the dblp team
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